Mbia (MBI) Price to Earnings (2010 - 2016)
Mbia's Price to Earnings came in at 132.18 for Q3 2016, compared with 7.88 a year earlier.
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Analysis
Mbia (MBI) Price to Earnings (2010 - 2016) Analysis & Trends
For FY2015, Mbia's Price to Earnings was 4.92, up 58.0% from FY2014.
- Going back by year, Price to Earnings was 3.11 in FY2014 (-66.1%), 9.18 in FY2013 (+648.9%) and 1.23 in FY2012.
- The Q3 2016 figure represents the highest quarterly Price to Earnings in data going back to Q4 2010.
- Year-over-year, Price to Earnings increased in three of the last six quarters, with growth averaging 145.9%.
- The fastest year-over-year change in Price to Earnings over five years came in Q1 2016 (growth of 732.4%), and the weakest in Q4 2014 (a decline of 66.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Mbia | 223.96 Mn | -994.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 132.18 |
| Mar 31, 2016 | 36.82 |
| Dec 31, 2015 | 4.92 |
| Sep 30, 2015 | 7.88 |
| Jun 30, 2015 | 3.11 |
| Mar 31, 2015 | 4.42 |
| Dec 31, 2014 | 3.11 |
| Sep 30, 2014 | 2.60 |
| Jun 30, 2014 | 3.33 |
| Mar 31, 2014 | 7.99 |
| Dec 31, 2013 | 9.18 |
| Sep 30, 2013 | 5.18 |
| Jun 30, 2013 | 8.09 |
| Mar 31, 2013 | 2.84 |
| Dec 31, 2012 | 1.23 |
| Jun 30, 2012 | 5.12 |
| Mar 31, 2011 | 7.74 |
| Dec 31, 2010 | 45.19 |
API Access
Mbia Price to Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-earnings&ticker=MBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=MBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();